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%A Cattuto, Ciro; Benz, Dominik; Hotho, Andreas & Stumme, Gerd
%D 2008
%T Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems
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%K measure semantic similarity tag tagging 
%X  Social bookmarking systems allow users to organise collections of resources on the Web in a collaborative fashion. The increasing popularity of these systems as well as first insights into their emergent semantics have made them relevant to disciplines like knowledge extraction and ontology learning. The problem of devising methods to measure the semantic relatedness between tags and characterizing it semantically is still largely open. Here we analyze three measures of tag relatedness: tag co-occurrence, cosine similarity of co-occurrence distributions, and FolkRank, an adaptation of the PageRank algorithm to folksonomies. Each measure is computed on tags from a large-scale dataset crawled from the social bookmarking system del.icio.us. To provide a semantic grounding of our findings, a connection to WordNet (a semantic lexicon for the English language) is established by mapping tags into synonym sets of WordNet, and applying there well-known metrics of semantic similarity. Our results clearly expose different characteristics of the selected measures of relatedness, making them applicable to different subtasks of knowledge extraction such as synonym detection or discovery of concept hierarchies.
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%U http://www.citebase.org/abstract?id=oai:arXiv.org:0805.2045
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%0 Journal Article
%A Charniak, Eugene
%D 1997
%T Statistical Techniques for Natural Language Parsing
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%B AI Magazine
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%P 33-44
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%U http://citeseer.ist.psu.edu/article/charniak97statistical.html
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%0 Conference Proceedings
%A Don, Anthony; Zheleva, Elena; Gregory, Machon; Tarkan, Sureyya; Auvil, Loretta; Clement, Tanya; Shneiderman, Ben & Plaisant, Catherine
%D 2007
%T Discovering interesting usage patterns in text collections: integrating text mining with visualization
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%B CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
%C New York, NY, USA
%I ACM
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%F 1321473
%K collection imported pattern proj:bk proj:cpf proj:gtf text usage 
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%U http://portal.acm.org/citation.cfm?id=1321440.1321473
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%A Ehrig, Marc & Maedche, Alexander
%D 2003
%T Ontology-focused crawling of Web documents
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%B SAC '03: Proceedings of the 2003 ACM symposium on Applied computing
%C New York, NY, USA
%I ACM
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%P 1174--1178
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%K crawling ontology proj:bk proj:gtf web 
%X The Web, the largest unstructured database of the world, has greatly improved access to documents. However, documents on the Web are largely disorganized. Due to the distributed nature of the World Wide Web it is difficult to use it as a tool for information and knowledge management. Therefore, users doing the difficult task of exploring the Web have to be supported by intelligent means.This paper proposes an approach for document discovery building on a comprehensive framework for ontology-focused crawling of Web documents. Our framework includes means for using a complex ontology and associated instance elements. It defines several relevance computation strategies and provides an empirical evaluation which has shown promising results.
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%U http://www.aifb.uni-karlsruhe.de/WBS/meh/publications/ehrig03ontology.pdf
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%A Emond, B. & West, R.L.
%D 2002
%T Cognitive Modeling and its Application for the Development of Socially Adept Technologies
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%K cognition cognitive model modeling 
%X In this paper we would like to propose that the methodology of cognitive modeling can provide an approach to the implementation of socially adept technologies and the evaluation of its usability. We base this approach on the assumption that representations play an essential role in mediating social relations. Cognitive representations and their causal link to the social and physical environments have been recognized as an essential element for understanding social relations. The challenge is to port cognitive modeling methodology into the realm of socially adept technologies. The first section briefly presents the state of development of a modeling environment aimed at supporting usability testing of sociotechnical systems. The second section will give an overview of an application intended to support social and personal awareness in a web-based learning environment. This application maps users identity, users behavior, and shared information content into a model of human memory.

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%A Freeman, L.C. & White, D.R.
%D 1993
%T Using Galois Lattices to Represent Network Data
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%B Sociological Methodology
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%K analysis network proj:bk sna social 
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%A Liu, Ping; Curson, Jayne & Dew, Peter M.
%D 2002
%T Exploring RDF for Expertise Matching within an Organizational Memory.
%E Pidduck, Anne Banks; Mylopoulos, John; Woo, Carson C. & Özsu, M. Tamer
%B International Conference of Advanced Information Systems Engineering (CAiSE)
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%I Springer
%V 2348
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%P 100-116
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%S Lecture Notes in Computer Science
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%F Liu_2002_Expertise-Matching
%K rdf semanticweb 
%X Organizations have realized that effective development and management of their organizational knowledge base is very important for their survival in todays competitive business environment. People, as a special knowledge asset, also attract the interest of many researchers because, only through people communicating with one another, can they really share their tacit knowledge and skills that can be more valuable than explicit documentation. The need to be able to quickly locate experts among the heterogeneous data sources stored in the organizational memory has been recognized by many researchers. This paper examines the advantages of using RDF (Resource Description Framework) for Expertise Matching. The major challenge is to semantically integrate heterogeneous data sources stored in the organizational memory and facilitate users to locate the right people. We present a practical application of this using a case study where PhD applicants can locate potential supervisors before they formally apply to a university.

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%U http://dblp.uni-trier.de/db/conf/caise/caise2002.html#LiuCD02
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%A Taatgen, Niels A.; Huss, David & Anderson, John R.
%D 2006
%T How Cognitive Models can Inform the Design of Instructions
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%P 304-309
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%S Proceedings of the seventh International Conference on cognitive modeling
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%K cognition cognitive model modeling 
%X Instructions represented as lists of steps lead to inflexible and brittle behavior in cognitive models, suggesting that list-style instructions lead to poor learning in people as well. On the basis of this assumption we designed an alternative operatorstyle instruction that produces better learning in models. In an experiment and model of interacting with a simulated Flight Management System, a system that is notoriously hard to learn on the basis of list-style instructions, we show that alternative instructions produce significantly better and more robust learning.

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%A Yu, Y.; Wang, Y.; Mylopoulos, J.; Liaskos, S.; Lapouchnian, A. & do Prado Leite, JCS
%D 2005
%T Reverse Engineering Goal Models from Legacy Code
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%B Requirements Engineering, 2005. Proceedings. 13th IEEE International Conference on
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%A Zhang, Z. & Nasraoui, O.
%D 2006
%T Mining search engine query logs for query recommendation
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%B Proceedings of the 15th international conference on World Wide Web
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%I ACM Press New York, NY, USA
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